Data Engineer

JOB REQUIREMENTS: Data Engineer Location US-WI-Milwaukee ID 2026-1242 Position Type Full-Time Category Technology Overview Allspring is seeking a Data Engineer II to join Allspring Engineering and Technology Platform Data team (Responsible for Distribution, Marketing, Product & Corporate Data) team. The role requires strong hands-on data engineering skills, business engagement capabilities, and the ability to deliver solutions independently. The ideal candidate will bring asset and/or wealth management experience, strong technical expertise, and a passion for building reliable, scalable data products; and support L2/L3 production incidents through on-call rotations and end-to-end issue resolution. We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week. Location(s): Charlotte, NC, or Milwaukee, WI Responsibilities Partner directly with stakeholders across Distribution, Sales, Marketing, Corporate, and Finance to gather and clarify business requirements, translate them into technical designs, and implement effective data solutions. Work as a hands-on member of the Distribution Data team, collaborating with senior data engineers, architects, analysts, and business partners to deliver high-quality data products. Design, develop, test, deploy, and support efficient data ingestion, transformation, and integration pipelines using industry-standard tools and technologies. Develop and optimize database solutions, data models, SQL queries, stored procedures, and data processing workflows across Snowflake, Oracle and AWS environments. Build maintainable Informatica Data Management Cloud(IDMC), Snowflake, AWS Aurora, Oracle, Python, Autosys based data engineering solutions, including automation, validation, orchestration, and data quality controls. Use GitHub Copilot or similar coding agents responsibly to accelerate development, testing, documentation, and code review while maintaining engineering quality and security standards. Monitor production data pipelines and resolve data issues, performance bottlenecks, and operational incidents in a timely manner. Partner with Business Intelligence teams to deliver high-quality, trusted data across Salesforce CRMA, Tableau, and Kyvos, enabling effective reporting and analytics. Collaborate with the broader Platform and Data Operations team to continuously enhance the Data Management toolkit, leveraging technologies such as IDMC, Snowflake, AWS Aurora, Iceberg, Autosys, and Datadog. Advance AI adoption across the team to improve operational efficiency and support strategic outcomes. Qualifications Required... For full info follow application link. We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/754D7070C7134619